Interaction of mid-infrared parametric waves in laser plasmas /, Ganeev, Rashid A.,
Автор: Yar M. Mughal Название: A Parametric Framework for Modelling of Bioelectrical Signals ISBN: 9812879684 ISBN-13(EAN): 9789812879684 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In addition, having such a formalized signal model makes it possible to develop computer tools that can be used for manipulating and understanding how signal changes result from various heart conditions, as well as for generating input signals for experimenting with and evaluating the performance of e.g.
Автор: Tang Ming Название: Parametric Building Design Using Autodesk Maya ISBN: 041564447X ISBN-13(EAN): 9780415644471 Издательство: Taylor&Francis Рейтинг: Цена: 7348.00 р. Наличие на складе: Поставка под заказ.
Описание: Including case studies from Zaha Hadid Architects, Greg Lynn Form, Gage Clemenceau Architects, Tang & Yang Architects, as well as step by step exercises, and demonstration projects; and crucially a fantastic online resource which includes video tutorials, scripts, and Maya source files, this book explores the application of Autodesk Maya in the design process.
Описание: This book presents a solution of the harder part of the problem of defining globally arbitrary Lie group actions on such nonsmooth entities as generalised functions. Earlier, in part 3 of Oberguggenberger & Rosinger, Lie group actions were defined globally - in the projectable case - on the nowhere dense differential algebras of generalised functions An, as well as on the Colombeau algebras of generalised functions, and also on the spaces obtained through the order completion of smooth functions, spaces which contain the solutions of arbitrary continuous nonlinear PDEs. Further details can be found in Rosinger & Rudolph, and Rosinger & Walus 1,2]. To the extent that arbitrary Lie group actions are now defined on such nonsmooth entities as generalised functions, this result can be seen as giving an ans wer to Hilbert's fifth problem, when this problem is interpreted in its original full gener- ality, see for details chapter 11.
Описание: This proceedings volume contains eight selected papers thatwere presented in the International Symposium in Statistics (ISS) 2015 OnAdvances in Parametric and Semi-parametric Analysis of Multivariate, TimeSeries, Spatial-temporal, and Familial-longitudinal Data, held in St. John`s,Canada from July 6 to 8, 2015.
Автор: Victor S. L`vov Название: Wave Turbulence Under Parametric Excitation ISBN: 3642752977 ISBN-13(EAN): 9783642752971 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: WAVE TURBULENCE is a state of a system of many simultaneously excited and interacting waves characterized by an energy distribution which is not in any sense close to thermodynamic equilibrium.
Автор: Ruslan I. Dmitriev Название: Multi-Parametric Live Cell Microscopy of 3D Tissue Models ISBN: 3319673572 ISBN-13(EAN): 9783319673578 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A variety of applications are covered, including multi-parametric quantitative imaging in intestinal organoid culture, autofluorescence imaging in cancer and stem cell biology, Ca2+ imaging in neural ex vivo tissue models, as well as multi-parametric imaging of pH and viscosity in cancer biology.
Автор: E. Brodsky; B.S. Darkhovsky Название: Non-Parametric Statistical Diagnosis ISBN: 9048154650 ISBN-13(EAN): 9789048154654 Издательство: Springer Рейтинг: Цена: 34519.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book has a distinct philosophy and it is appropriate to make it explicit at the outset. In our view almost all classic statistical inference is based upon the assumption (explicit or implicit) that there exists a fixed probabilistic mechanism of data generation. Unlike classic statistical inference, this book is devoted to the statistical analysis of data about complex objects with more than one probabilistic mechanism of data generation. We think that the exis- tence of more than one data generation process (DGP) is the most important characteristic of com plex systems. When the hypothesis of statistical homogeneity holds true, Le., there exists only one mechanism of data generation, all statistical inference is based upon the fundamentallaws of large numbers. However, the situation is completely different when the probabilistic law of data generation can change (in time or in the phase space). In this case all data obtained must be 'sorted' in subsamples generated by different probabilistic mechanisms. Only after such classification we can make correct inferences about all DGPs. There exists yet another type of problem for complex systems. Here it is important to detect possible (but unpredictable) changes of DGPs on-line with data collection. Since the complex system can change the probabilistic mechanism of data generation, the correct statistical analysis of such data must begin with decisions about possible changes in DGPs.
Описание: This book analyzes parametric amplification with emphasis on the MOS discrete-time implementation. Examples include a small gain amplifier, discrete-time mixer/IIR-Filter, and analog-to-digital converter. Offers experimental data validating the overall design.
Описание: This volume presents a parametric, packet-based, comprehensive model to measure and predict the audiovisual quality of Internet Protocol Television services as it is likely to be perceived by the user. The comprehensive model is divided into three sub-models referred to as the audio model, the video model, and the audiovisual model.
Автор: Tomas Gal; H.J. Greenberg Название: Advances in Sensitivity Analysis and Parametric Programming ISBN: 146137796X ISBN-13(EAN): 9781461377962 Издательство: Springer Рейтинг: Цена: 34937.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The standard view of Operations Research/Management Science (OR/MS) dichotomizes the field into deterministic and probabilistic (nondeterministic, stochastic) subfields.
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